Elenco Pubblicazioni - Publications (1524)
F. Bargagna, L. A. De Santi et al.: "Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios", Journal of Digital Imaging, Online
Written by FILIPPO BARGAGNA
Abstract: Deep neural networks (DNNs) have already impacted the field of medicine in data analysis, classification, and image processing. Unfortunately, their performance is drastically reduced when datasets are scarce in nature (e.g., rare diseases or earlyresearch…
G. Todaro, M. Monopoli, G. Benelli, L. Zulberti and T. Pacini, "Enhanced Soft GPU Architecture for FPGAs," 2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME), Valencia, Spain, 2023, pp. 177-180
Written by GIOVANNI TODARO
Nowadays, General Purpose computing on Graphic Processing Unit (GPGPU) is deeply exploited in many application fields due to its high versatility and energy efficiency. Over the past decade, different solutions have been proposed to implement…
M. Monopoli, L. Zulberti, P. Nannipieri, L. Fanucci and S. Moranti, "Exploring Key Aspects of Soft GPGPU Computing for On-board Acceleration of Artificial Intelligence Algorithms in Space Applications," EDHPC 2023 Conference, Juan-Les-Pins, France
Written by MATTEO MONOPOLI
Artificial Intelligence has gained widespread adoption across different industrial sectors, serving as a versatile tool to carry out a diverse array of tasks, ranging from image classification and traffic forecasting to natural language processing and speech recognition.…
M. Monopoli, L. Zulberti, G. Todaro, P. Nannipieri and L. Fanucci, "Exploiting FPGA Dynamic Partial Reconfiguration for a Soft GPU-based System-on-Chip," 2023 18th PRIME Conference, Valencia, Spain, 2023, pp. 181-184
Written by MATTEO MONOPOLI
For many years, General Purpose Computing on Graphic Processing Units has been widely exploited in different fields of application. The hardware architectures enabling this kind of computation are increasingly complex, and their use for on-the-edge…
